A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes

QR bar codes are prototypical images for which part of the image is a priori known (required patterns). Open source bar code readers, such as ZBar, are readily available. We exploit both these facts to provide and assess purely regularization-based methods for blind deblurring of QR bar codes in the...

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Bibliographic Details
Published in:arXiv.org 2017-03
Main Authors: Yves van Gennip, Athavale, Prashant, Gilles, Jérôme, Choksi, Rustum
Format: Article
Language:English
Subjects:
Bar codes
Noise reduction
Regularization
Online Access:Get full text
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Summary:QR bar codes are prototypical images for which part of the image is a priori known (required patterns). Open source bar code readers, such as ZBar, are readily available. We exploit both these facts to provide and assess purely regularization-based methods for blind deblurring of QR bar codes in the presence of noise.
ISSN:2331-8422
DOI:10.48550/arxiv.1410.6333